Evidence map›Paper›PMID 41184656›Full record

SynthesisLasers in medical science2025

Comparative appraisal with meta-analysis of picosecond versus nanosecond lasers for hyperpigmented disorders and tattoos.

Wenjie Wu, Yaxin Du, Yuezhu Zhang, Qianya Su, Fei Wang

Abstract readMeta-AnalysisSystematic ReviewComparative Study
PubMed Publisher
In one paragraph

Synthesis in Lasers in medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wenjie WuZhongDa Hospital, Southeast University, Nanjing, China.
Yaxin DuKyoto University Graduate School of Medicine, Kyoto, Japan.
Yuezhu ZhangZhongDa Hospital, Southeast University, Nanjing, China.
Qianya SuZhongDa Hospital, Southeast University, Nanjing, China.
Fei WangZhongDa Hospital, Southeast University, Nanjing, China. ffwangfei@163.com.

Funding

Zhongda Hospital Affiliated to Southeast University, Jiangsu Province High-Level Hospital Construction Funds. 2024GSPKY18
6 · The paper itself

Abstract

To compare the efficacy and safety of picosecond lasers (PSLs) versus nanosecond lasers (NSLs) for treatment of hyperpigmented disorders and tattoos, we conducted a systematic review of literature. PubMed, Web of Science and Cochrane library (from inception to December 2024) were searched for articles. The primary outcome was the treatment success rate (≥ 75% clearance of pigment), and the secondary outcomes were the visual analogue scale (VAS) to assess pain and the rates of adverse events. We analyzed 20 randomized controlled trials and 1 retrospective comparative study comprising a total of 971 patients. For efficacy, PSLs and NSLs had comparable clearance for endogenous hyperpigmentation (RR 1.06, 95% CI [0.85, 1.31], P = 0.60), but PSLs tend to have superiority (RR 1.39, 95% CI [0.99, 1.94], P = 0.05) for exogenous hyperpigmentation. For pain assessment, the mean value of VAS for PSLs and NSLs was between 1.5 and 5.61 and 1.0 to7.9. Both lasers were tolerable and PSLs led to less pain (P < 0.01). Adverse events including post-inflammatory hyperpigmentation (PIH) and post-inflammatory hypopigmentation (PIHo) were much more obvious in Asian than European patients. Meanwhile, compared with NSLs, PSLs had significantly less rate of PIH (P = 0.02; I

Indexed as

HyperpigmentationLasers, Solid-StateLow-Level Light TherapyTattooingHumansRandomized Controlled Trials as TopicTreatment OutcomeLaserPigmentationTattoo

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.